The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Personalized Measures of Consumption and Development in the Context of Biodiversity Conservation: Connecting the Ecological Footprint Calculation with the Human Footprint Map
Abstract
The most important component of biodiversity to monitor may be us, the human species. Two key measures of human impact on the biosphere are denoted metaphorically as footprints: the human footprint map and the ecological footprint calculation. Both the human footprint map and the ecological footprint calculation have had important impacts on conservation policy and public education efforts, but these two similar sounding conservation tools actually represent two quite different approaches to measuring development and consumption, starting from different premises and yielding different, but complementary, measures. This chapter provides a path of connection between the ecological footprint and the human footprint, which eventually could lead to a personalized, spatialized ecological human footprint. It also discusses an equivalency between the ecological footprint and the human footprint map at the national scale, matching up consumption to production, ecological footprint’s global hectare (gha) to the human footprint’s human influence index (HII).
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With GIS connectivity models, efforts to measure human impacts on the environment have resulted in modelling indices such as HFI and SHFI.
“With GIS connectivity models, efforts to measure the human impacts upon the environment have resulted in modelling indices such as the HFI (Human Footprint Index) that use a composite of variables to assess the levels of human disturbance on a particular ecosystem and SHFI (Spatial Human Footprint Index) (Sanderson 2013; Correa Ayram et al. 2017).”
From Exploratory GIS: modelling past land use and occupancy with functional connectivity, willandra lakes region world heritage area, NSW, australia (2022) · cites this paper as Sanderson 2013
With GIS connectivity models, efforts to measure the human impacts upon the environment have resulted in modelling indices such as the HFI and SHFI that use a composite of variables to assess levels of human disturbance on a particular ecosystem.
“With GIS connectivity models, efforts to measure the human impacts upon the environment have resulted in modelling indices such as the HFI (Human Footprint Index) that use a composite of variables to assess the levels of human disturbance on a particular ecosystem and SHFI (Spatial Human Footprint Index) (Sanderson 2013; Correa Ayram et al. 2017).”
From Exploratory GIS: modelling past land use and occupancy with functional connectivity, willandra lakes region world heritage area, NSW, australia (2022) · cites this paper as Sanderson 2013
Efforts to measure human impacts on the environment with GIS connectivity models have produced indices such as the Human Footprint Index (HFI) and Spatial Human Footprint Index (SHFI), which use a composite of variables to assess human disturbance on an ecosystem.
“With GIS connectivity models, efforts to measure the human impacts upon the environment have resulted in modelling indices such as the HFI (Human Footprint Index) that use a composite of variables to assess the levels of human disturbance on a particular ecosystem and SHFI (Spatial Human Footprint Index)”
From Exploratory GIS: modelling past land use and occupancy with functional connectivity, willandra lakes region world heritage area, NSW, australia (2022) · cites this paper as Sanderson 2013
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Thomas, K. (2022) · Journal of Computer Applications in Archaeology · doi:10.5334/jcaa.98 · Cited by 1
Metadata
- Authors
- Sanderson, E. W.
- Venue
- Biodiversity Monitoring and Conservation
- Publisher
- Wiley
- Published
- 2013-02-25
- Pages
- 189-209
- Cited by
- 3
- References
- 2
- Language
- en
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